Siemens’ current order backlog for electrical transformers: €143 billion. Current wait time if you order a transformer today: five years.
Five years. For a transformer. The kind you need to connect a data center, a factory, a charging network, or a renewable energy installation to the grid.
This single data point should end the conversation about whether America can build the AI infrastructure it has announced on the timeline it has announced. It can’t. Not because the financing isn’t there. Not because the land isn’t available. Not because the technology doesn’t work. Because the physical hardware required to connect these facilities to electrical power is backlogged for half a decade at the world’s leading manufacturer.
Craig Tindale cited this in his Financial Sense interview as one of the clearest illustrations of the gap between the financial narrative around AI and the material reality. We have Nvidia chips sitting in inventory, undeployed — not because there’s no demand, but because the data centers that would house them can’t get power connections. The transformer is the bottleneck, and the transformer backlog is the direct result of two decades of underinvestment in electrical infrastructure manufacturing capacity.
The rural electrification analogy is apt. In the 1930s, bringing electricity to rural America required an enormous coordinated buildup of generation capacity, transmission infrastructure, and distribution hardware. It took years and required deliberate government intervention to overcome market failures in low-density areas. We are attempting something of comparable complexity — multiplying the electrical capacity of major industrial corridors to support AI, EV charging, and re-shored manufacturing — without having built the manufacturing capacity to produce the equipment that would make it possible.
Tindale’s prediction: by late 2027, the electricity constraint on the AI buildout becomes undeniable and public. The stories about transformers, substations, and grid interconnection queues — already visible to those paying attention — become the dominant narrative. The AI hype cycle collides with the infrastructure reality cycle. Position accordingly.
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